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Name: trhflybingo
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Name: trhflybingo
Type: User
Cost-sensitive Regularization for Label Confusion-aware Event Detection
Cost-Sensitive Support Vector Machines
《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
Deep Cost-sensitive Kernel Machine Model
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
The official implementation of "DGCN: Diversified Recommendation with Graph Convolutional Networks" (WWW '21)
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
An implementation of a deep learning recommendation model (DLRM)
目前涵盖的笔记有(Android | LeetCode | React | Vue | GoLang | Java | Python | Scala | BigData | SpringBoot | SpringCloud | MQ | Netty | Linux | 操作系统和硬件 | 计算机网络 | 网络安全 | 推荐系统 | 设计模式 | 计算广告 | 文件管理 | DataBase | Elastic-Stack | Docker | Kubernetes | CICD ),把自己最近和之前记录在MD的笔记搬运一下,之前记在OneNote的(Vue的基本都记在OneNote里了)就算了。哈哈.(https://ashiamd.github.io/docsify-notes/)
大数据运营分析
Spring Boot 2.4.0,Shiro1.6.0 & Layui 2.5.6 权限管理系统。预览地址:http://47.104.70.138:8080/login
flink learning blog. http://www.54tianzhisheng.cn 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例,还有 Flink 落地应用的大型项目案例(PVUV、日志存储、百亿数据实时去重、监控告警)分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》
:helicopter::rocket:基于Flink实现的商品实时推荐系统。flink统计商品热度,放入redis缓存,分析日志信息,将画像标签和实时记录放入Hbase。在用户发起推荐请求后,根据用户画像重排序热度榜,并结合协同过滤和标签两个推荐模块为新生成的榜单的每一个产品添加关联产品,最后返回新的用户列表。
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
本推荐算法教程主要是针对具有机器学习基础并想找推荐算法岗位的同学,教程由推荐算法基础、推荐算法入门赛、新闻推荐项目及推荐算法面经组成,形成了一个完整的从基础到实战再到面试的闭环。
An index of recommendation algorithms that are based on Graph Neural Networks.
大数据面试题,大数据成神之路开启...Flink/Spark/Hadoop/Hbase/Hive...
基于SpringCloud的新闻检索与推荐系统设计与实现
Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation
Dataset: Hospital Mortality Rate Objective: - Used Imbalanced data handling techniques - Make prediction model Key Points: - Used ROC-AUCasscoringmetrics - Used different technique to handle imbalanced dataset - Used Cost Sensitive Techniques - Used Data Sampling Techniques - Used Grid Search to tune hyperparameter of the ML models - Used corss validation score to decide best model for the dataset
🌍 东半球最酷的学习项目 | 1、我写的三十万字算法图解 2、千本开源电子书 3、100 张思维导图 4、100 篇大厂面经 5、30 个学习专题 🚀 🚀 🚀 右上角点个 star,加入我们万人学习群!English Supported!
Comparison study of metrics (F1, recall), sampling (under, over, SMOTE), cost sensitive (class weight) and different model (GB, XGB)'s performance in handling imbalanced data
【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
一款基于代码生成器的JAVA快速开发平台!采用最新技术,前后端分离架构:SpringBoot 2.x,Ant Design&Vue,Mybatis,Shiro,JWT。强大的代码生成器让前后端代码一键生成,无需写任何代码,绝对是全栈开发福音!! JeecgBoot的宗旨是提高UI能力的同时,降低前后分离的开发成本,JeecgBoot还独创在线开发模式,No代码概念,一系列在线智能开发:在线配置表单、在线配置报表、在线设计流程等等。
Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020
KDD2020 Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion
Official Code Framework of the paper "Latent Linear Critiquing for Conversational Recommender Systems"
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A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.